tf.linalg.qr

Computes the sign and the log of the absolute value of the determinant of

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Compat aliases for migration

tf.compat.v1.linalg.slogdet

tf.linalg.slogdet(
    input, name=None
)

one or more square matrices.

The input is a tensor of shape [N, M, M] whose inner-most 2 dimensions form square matrices. The outputs are two tensors containing the signs and absolute values of the log determinants for all N input submatrices [..., :, :] such that determinant = sign*exp(log_abs_determinant). The log_abs_determinant is computed as det(P)*sum(log(diag(LU))) where LU is the LU decomposition of the input and P is the corresponding permutation matrix.

Args
`input`	A `Tensor`. Must be one of the following types: `half`, `float32`, `float64`, `complex64`, `complex128`. Shape is `[N, M, M]`.
`name`	A name for the operation (optional).

Returns
A tuple of `Tensor` objects (sign, log_abs_determinant).
`sign`	A `Tensor`. Has the same type as `input`.
`log_abs_determinant`	A `Tensor`. Has the same type as `input`.

TensorFlow

tf.linalg / qr

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TensorFlow

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tf.linalg / qr

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